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Field
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oxide semiconductor (IGZO / ITO / IZO / CAAC-IGZO) device fabrication or ALD. • Experience with TCAD simulation (Sentaurus, Silvaco) or compact modeling.
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. Qualifications The proposed project extensively involves mathematical modelling, computer programming, numerical simulation and experimental investigation of two-phase flows. It requires researchers to have PhD
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modeling/simulation tools (e.g., MATLAB/Simulink, Modelica, and COMSOL Multiphysics), energy systems analysis/optimization/programming software (e.g., HOMER, GAMS, and Python). Evidence of previous
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interpretation of data Simple process simulation and modelling General lab organization and coordination Assist supervising PhD, Master and undergraduate project students Data collation, presentation and reporting
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data science, contributing to projects that leverage cutting-edge multiomic datasets to develop predictive models of therapy response and identify clinically actionable biomarkers. Located in Boston and
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contextual scenarios. Develop a unified multimodal detection pipeline that integrates video, audio, and text leveraging fine-tuned Vision-Language Models (VLMs) from WP3, supporting zero-shot reasoning and
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Must be a U.S. Citizen Preferred Skills: Experience with MATLAB Familiarity with emerging technologies including instrumentation, computer modeling & simulation (e.g. Matlab, CFD, and/or other), and the
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of future reactor systems with a focus on systems relevant for Norway. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations
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of astronomical techniques (such as observing, data reduction and analysis, instrumentation and software development, modelling and simulations) involving instrumentation for or astronomical datasets from ground
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and optimisation of biomolecular assays for bladder-cancer-associated DNA variants. Apply a range of algorithmic approaches to quantitative modelling to improve assay sensitivity, specificity, speed